Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality

Jey Han Lau, David Newman, Timothy Baldwin. Machine Reading Tea Leaves: Automatically Evaluating Topic Coherence and Topic Model Quality. In Gosse Bouma, Yannick Parmentier 0001, editors, Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2014, April 26-30, 2014, Gothenburg, Sweden. pages 530-539, The Association for Computer Linguistics, 2014. [doi]

Abstract

Abstract is missing.